doi: 10.18178/joebm.2026.14.4.963
Examining the Characteristics and Determinants of Technology Transaction Networks in the Chengdu-Chongqing Economic Circle: An Analysis of Patent Trading Data
Xiaohong Li 1
,
Weijun Zhai 2
,
Ruifeng Hu 1,2,*
- 1 School of Economics, Xihua University, Chengdu, China
- 2 Research Institute of International Economics and Management, Xihua University, Chengdu, China
- Manuscript received August 1, 2026
- revised October 10, 2026
- published October 27, 2006
Abstract
Innovation drives economic development, and the Chengdu-Chongqing Economic Circle prioritizes technological innovation. Patent transfer data reliably reflects technological progress and innovation indices, accurately characterizing urban innovation links. This paper studies the Chengdu-Chongqing Economic Circle using patent transfer data from 2001 to 2020. Employing Social Network Analysis (SNA) and Quadratic Assignment Procedure (QAP) analysis, it explores the spatio-temporal evolution of patent transactions and the factors influencing technology spillover. Results indicate an upward trend in patent transactions, increasing network density, and strengthening clustering coefficients. Node centrality is rising, shifting from a “single-core” to a “multi-level and multi-node” model. Proximity in geography, technology, and institutions significantly promotes patent technology transfer, while economic level, city size, and investment incentives are found not to be primary influencing factors.
Keywords
- hengdu-Chongqing economic circle
- patent transactions
- evolution
- social network analysis
How to Cite
Xiaohong Li, Weijun Zhai, and Ruifeng Hu, "Examining the Characteristics and Determinants of Technology Transaction Networks in the Chengdu-Chongqing Economic Circle: An Analysis of Patent Trading Data," Journal of Economics, Business and Management, vol. 14, no. 4, pp. 317-323, 2026. https://doi.org/10.18178/joebm.2026.14.4.963
Copyright & License
Copyright © 2026 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).